Automated Virtual Tripwire Placement

2. The method of claim 1, wherein each image of the series of images includes a set of pixels, wherein one or more pixels of the set of pixels correspond to a grid point of a geocoordinate grid, and wherein automatically selecting a location for placement of the virtual tripwire includes moving a sliding window across grid points of the geocoordinate grid to identify a candidate location of the at least one candidate location that results in minimization of a variance of the direction of travel for the at least one object of interest at grid points overlapping the sliding window.

4. The method of claim 1, wherein the series of images are obtained by sampling video from the camera.

10. The method of claim 9, wherein each image of the series of images includes a set of pixels, wherein one or more pixels of the set of pixels correspond to a grid point of a geocoordinate grid, and wherein automatically selecting a location for placement of the virtual tripwire includes moving a sliding window across grid points of the geocoordinate grid to identify a location that results in minimization of the variance of the direction of travel for at least one object of interest at grid points overlapping the sliding window.

12. The method of claim 9, wherein the series of images are obtained by sampling video from the camera.

13. The method of claim 9, wherein the objects of interest include at least one of vehicles, bicycles, and pedestrians.

20. The system of claim 17, wherein the at least one processor is further operable to estimate a velocity of an object of interest crossing the virtual tripwire for a defined time interval based on respective locations of pixels corresponding to the object of interest in successive images.